<p>(a) ROC Curves of the Various Machine Learning Models for Cancer Screening (Male). (b) ROC Curves of the Various Tumour Markers for Cancer Screening (Male). (c) ROC Curves of the Various Machine Learning Models for Cancer Screening (Female). (d) ROC Curves of the Various Tumour Markers for Cancer Screening (Female).</p
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>A (top figure: HM27, bottom figure: HM450), scatterplots of the highest PBL β-value (β-PBL<sub>H<...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>ROC curves obtained with different feature sets extracted from the tumor region using (a) leave-o...
<p>ROC curves for CA125 alone, the two and three-biomarker panels: (A) healthy controls versus patie...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>Receiver operating characteristic (ROC) curves for risk prediction of prostate cancer for three d...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Single proteins (A) and multi-marker models (B) were used for the classification analyses. For mu...
<p>ROC curves for CA125 alone and the three-biomarker panel: (A) healthy controls plus benign patien...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>The curves shown were obtained by processing quantified raw data by SAS 9.1 version software and ...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>Results were shown for single proteins (A, C) and multi-marker models (B, D).</p
<p>Performance validation using ROC curves. The AUC values of GroupRank and SingleRank achieved in e...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>A (top figure: HM27, bottom figure: HM450), scatterplots of the highest PBL β-value (β-PBL<sub>H<...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...
<p>ROC curves obtained with different feature sets extracted from the tumor region using (a) leave-o...
<p>ROC curves for CA125 alone, the two and three-biomarker panels: (A) healthy controls versus patie...
<p>Values along the indicated diagonal line (<i>line of no-discrimination</i>) reflect a random gues...
<p>Receiver operating characteristic (ROC) curves for risk prediction of prostate cancer for three d...
ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...
<p>Single proteins (A) and multi-marker models (B) were used for the classification analyses. For mu...
<p>ROC curves for CA125 alone and the three-biomarker panel: (A) healthy controls plus benign patien...
<p>Receiver Operator Characteristic (ROC) curves evaluated discriminatory properties of genes differ...
<p>The curves shown were obtained by processing quantified raw data by SAS 9.1 version software and ...
<p>ROC curves from disease classification models for differentiating between AD and CN individuals.<...
<p>Results were shown for single proteins (A, C) and multi-marker models (B, D).</p
<p>Performance validation using ROC curves. The AUC values of GroupRank and SingleRank achieved in e...
<p>For the model with GRS, the average of 1000 ROC curves is drawn. Areas under the curves (AUCs) ar...
<p>A (top figure: HM27, bottom figure: HM450), scatterplots of the highest PBL β-value (β-PBL<sub>H<...
(A) ROC curve when staining intensity in adipose tissue was applied to predict tumor grade (OR = 1.0...